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  1. 2301
    por Zhang, Jianfeng, Northoff, Georg
    Publicado 2022
    “…How global and local activity interact with each other is a common question in complex systems like climate and economy. Analogously, the brain too displays ‘global’ activity that interacts with local-regional activity and modulates behavior. …”
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    Online Artículo Texto
    Beyond noise to function: reframing the global brain activity and its dynamic topography
  2. 2302
    “…Additionally, populations of non‐autonomous TEs co‐evolved over millions of years with their autonomous partners, leading to complex systems with multiple types of autonomous, semi‐autonomous and non‐autonomous elements. …”
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    Transposable Element Populations Shed Light on the Evolutionary History of Wheat and the Complex Co‐Evolution of Autonomous and Non‐Autonomous Retrotransposons
  3. 2303
    “…The dynamical network biomarker (DNB) theory detects the early warning signals of state transitions utilizing fluctuations in and correlations between variables in complex systems. Although the DNB theory has been applied to gene expression in several diseases, destructive testing by microarrays is a critical issue. …”
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    Application of the Dynamical Network Biomarker Theory to Raman Spectra
  4. 2304
    Publicado 2022
    “…Mass vaccination clinics are complex systems that combine professionals who do not typically work together. …”
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    Online Artículo Texto
    Multi-Disciplinary Design and Implementation of a Mass Vaccination Clinic Mobile Application to Support Decision-Making
  5. 2305
    “…Light switching probes, such as ruthenium dipyridophenazine complexes, have been used to study complex systems such as DNA, RNA, and amyloid fibrils. …”
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    Deconvoluting binding sites in amyloid nanofibrils using time-resolved spectroscopy
  6. 2306
    “…There has been limited interrogation and theorisation of what drives such attitudes, and the contexts that sustain them. Adopting a complex systems lens, this study aimed to explore how systems shape professional and patient interactions. …”
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    Theorising health professionals’ prevention and management practices with children and young people experiencing self‐harm: a qualitative hospital‐based case study
  7. 2307
    “…This tensorial theory for simple smectics considerably simplifies numerics, facilitating studies on the mesoscopic structure of topologically complex systems.…”
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    Complex-tensor theory of simple smectics
  8. 2308
    “…Our study demonstrates the utility of in vivo proximity labeling for dissecting local control of complex systems and reveals new mechanisms for dictating RGC integrity and cortical architecture.…”
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    Non-muscle myosins control radial glial basal endfeet to mediate interneuron organization
  9. 2309
    “…Complex Nonlinearity: Chaos, Phase Transitions, Topology Change and Path Integrals is a book about prediction & control of general nonlinear and chaotic dynamics of high-dimensional complex systems of various physical and non-physical nature and their underpinning geometro-topological change. …”
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    Complex Nonlinearity: Chaos, Phase Transitions, Topology Change and Path Integrals
  10. 2310
    “…To this end, several realistic control design examples from teaching-laboratory experiments, such as a two-wheeled, self-balancing robot, to complex systems like a flexible-link manipulator are given detailed presentation. …”
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    Robust control design with MATLAB
  11. 2311
    “…This book looks at these complex systems from the perspective of the physicist. …”
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    Econophysics and physical economics
  12. 2312
    por Suaza Jimenez, Jorge Hernan
    Publicado 2020
    “…Complex thinking and the problems as complex systems can be seen from the point of view of multidimensionality and from the need of incorporate multiple disciplines to face them. …”
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    Online Artículo
    Transdiscipline and multidimensionality: a view from the educational context
  13. 2313
    “…The amount of information exchanged per unit of time between two dynamic processes is an important concept for the analysis of complex systems. Theoretical formulations and data-efficient estimators have been recently introduced for this quantity, known as the mutual information rate (MIR), allowing its continuous-time computation for event-based data sets measured as realizations of coupled point processes. …”
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    Measuring the Rate of Information Exchange in Point-Process Data With Application to Cardiovascular Variability
  14. 2314
    “…An increasing number of personalized advice systems for different purposes is becoming available in the market, ranging from systems providing advice about just a single parameter to very complex systems that include many variables characterizing each individual situation. …”
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    Design Issues in Personalized Nutrition Advice Systems
  15. 2315
    “…This study reveals single muscle cell heterogeneity in large proteoforms and establishes a direct relationship between sarcomeric proteoforms and muscle fiber types, highlighting the potential of top–down proteomics for uncovering the molecular underpinnings of cell-to-cell variation in complex systems.…”
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    High sensitivity top–down proteomics captures single muscle cell heterogeneity in large proteoforms
  16. 2316
    “…Predicting the origin-destination (OD) probability distribution of agent transfer is an important problem for managing complex systems. However, prediction accuracy of associated statistical estimators suffer from underdetermination. …”
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    Inferring origin-destination distribution of agent transfer in a complex network using deep gated recurrent units
  17. 2317
    “…Moreover, it also saves analysis time for large and complex systems, and the cost-saving effect becomes more pronounced with increasing system complexity.…”
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    Online Artículo Texto
    A Framework for Cybersecurity Requirements Management in the Automotive Domain
  18. 2318
    “…Agent-Based Models (ABMs) are used in several fields to study the evolution of complex systems from micro-level assumptions. However, a significant drawback of ABMs is their inability to estimate agent-specific (or “micro”) variables, which hinders their ability to make accurate predictions using micro-level data. …”
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    Online Artículo Texto
    On learning agent-based models from data
  19. 2319
    “…The complex network framework has been successfully used to model interactions between entities in Complex Systems in the Biological Sciences such as Proteomics, Genomics, Neuroscience, and Ecology. …”
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    A network-based approach to identifying correlations between phylogeny, morphological traits and occurrence of fish species in US river basins
  20. 2320
    “…The standard approach to modeling the human brain as a complex system is with a network, where the basic unit of interaction is a pairwise link between two brain regions. …”
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    Online Artículo Texto
    Partial entropy decomposition reveals higher-order information structures in human brain activity
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